Nightjar Fundis applies real-time predictive analysis to position management, recalculating stop-loss thresholds as volatility shifts rather than leaving them fixed at the point of entry. The result is a defensive layer that moves with the market instead of trailing behind it.
Conventional stop-loss orders are set once and left unattended, which exposes a position to volatility spikes and false breakouts it was never designed to withstand. Nightjar Fundis's engine recalculates each threshold continuously, drawing on volatility bands, order-book depth and correlated asset movement.
Initial stop set from current volatility and account risk parameters.
Volatility, liquidity and correlation data refreshed on a rolling basis.
Stop tightens or widens in line with measured market behaviour.
Nightjar Fundis was developed around a straightforward premise: that preserving capital deserves the same analytical rigour as generating returns. The platform focuses specifically on drawdown mitigation, leaving broader signal generation and strategy design to the trader.
It sits alongside an existing trading setup rather than replacing it, monitoring open positions and adjusting defensive parameters in the background. Further detail on the approach is set out on the About page.
Market microstructure changes quickly: spreads widen, order flow thins, correlations shift between open and close. Nightjar Fundis ingests price, volume and order-book data on a continuous feed rather than polling at fixed intervals, so the risk model reflects conditions as they are forming.
Volatility is treated as a variable to be measured and responded to, not an inconvenience to be smoothed over in a quarterly report. When liquidity thins or correlations drift, the stop-loss parameters move with that shift, generally within the same trading session.
The engine is designed for sub-second refresh cycles, so the risk model stays aligned with live market conditions rather than a delayed snapshot of them.
Every recalculation follows the same sequence, which keeps the model's behaviour explainable rather than opaque.
Live price, volume and order-book data are pulled continuously from connected venues, alongside volatility and correlation readings for related instruments. No delayed or manually entered feeds sit in the chain.
Current volatility is weighed against recent historical ranges and cross-asset behaviour, flagging conditions that have previously accompanied sharp reversals or liquidity gaps.
Stop-loss and position-sizing parameters are recalculated and, where authorised, applied automatically. Each adjustment carries a timestamp and the data inputs that triggered it, available for later review.
Containing losses during rapid, short-lived moves without constant manual oversight.
A single volatile session can erase weeks of disciplined gains if a stop is set too wide, or abandoned under pressure in the moment. Nightjar Fundis keeps the defensive layer active throughout the session, tightening automatically around news events or thinning liquidity, so exposure is reduced without requiring a trader to watch every tick.
Extending consistent risk controls as the number of positions and strategies grows.
As an allocation spreads across more instruments and strategies, manual stop management becomes difficult to apply consistently. Nightjar Fundis runs the same recalculation logic across an entire book, so additional positions inherit the same discipline rather than being managed to a lower standard than the original holdings.
Nightjar Fundis is built for traders who treat risk management as an ongoing discipline rather than an afterthought. The engine runs continuously in the background, adjusting defensive parameters as conditions change, while entry and strategy decisions remain firmly in your hands.
Request Platform AccessAccess is granted by appointment, following a short discussion of your current trading setup and risk requirements.